At a Glance
- Tasks: Design and develop cutting-edge trading infrastructure for automated systems.
- Company: Geo Alpha, a research-led trading business at the forefront of machine learning.
- Benefits: Competitive salary, dynamic team environment, and opportunities for professional growth.
- Other info: Flat hierarchy with exciting projects across multiple asset classes.
- Why this job: Join a small team to innovate in algorithmic trading and make a real impact.
- Qualifications: Strong Python skills and experience in data-intensive environments required.
The predicted salary is between 60000 - 80000 € per year.
Geo Alpha is a research-led trading business. Our algorithms are at the cutting edge of the machine learning opportunity frontier and stem from our roots in experimental science. We trade these signals using fully proprietary 24hr automated trading systems.
Our London team is currently looking to add a quantitative developer to our team. We are looking for experienced practitioners or relevant PhD grads with some industry experience to lead several key new projects that will ultimately underpin the evolution of the business.
Previous experience in Object Orientated Programming as well as the development of data-intensive workflows is required for this role. As a small team with a flat hierarchy, we work together on projects ranging from researching, designing and implementing data-driven trading strategies, to building the tools and infrastructure needed for fully automated trading across multiple asset classes.
Key aspects of the role include:
- Designing, developing, and maintaining high-quality trading infrastructure that supports business needs 24/7
- Implementing robust, performant code to ensure timely flows of data and signals
- Translating research findings into scalable, production-grade code
- Presenting work to colleagues and other stakeholders
- Taking ownership as “point-person” for specific strategies or markets
Essential skills required are:
- Proven strong experience in Python development within data-intensive production environments such as Machine Learning or Algorithmic Trading
- Familiarity with financial markets and signal-based strategies, with the ability to translate trading needs into technical features
- Understanding of the design and development of enterprise-level systems using OOP and microservices architecture
- Experience with scientific computing and algorithm development
- Awareness of software development lifecycle, CI/CD and the development in a shared codebase
Algorithmic Trader employer: Geo Alpha
Geo Alpha is an exceptional employer for those passionate about algorithmic trading and machine learning, offering a dynamic work environment in the heart of London. With a flat hierarchy and a collaborative culture, employees have the opportunity to lead innovative projects while benefiting from continuous professional development and exposure to cutting-edge technology. The company's commitment to research-driven strategies ensures that team members are at the forefront of the industry, making it a rewarding place for both personal and career growth.
StudySmarter Expert Advice🤫
We think this is how you could land Algorithmic Trader
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to algorithmic trading or machine learning. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding of financial markets. Practice coding challenges and be ready to discuss how you've tackled data-intensive workflows in the past.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Algorithmic Trader
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience in Python and any relevant projects you've worked on. We want to see how you’ve tackled data-intensive workflows and implemented robust code in your previous roles.
Tailor Your Application:Don’t just send a generic CV! Tailor your application to reflect the specific skills and experiences that align with our needs at Geo Alpha. Mention your familiarity with financial markets and how you can contribute to our trading strategies.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences without unnecessary fluff.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Geo Alpha
✨Know Your Algorithms
Brush up on your knowledge of algorithms, especially those related to machine learning and trading strategies. Be prepared to discuss how you've applied these in previous roles or projects, as this will show your understanding of the core business at Geo Alpha.
✨Showcase Your Coding Skills
Since strong Python development is crucial for this role, practice coding problems that focus on data-intensive workflows. You might even want to prepare a small project or example of your work to demonstrate your coding prowess during the interview.
✨Understand the Financial Landscape
Familiarise yourself with current trends in financial markets and signal-based strategies. Being able to discuss recent developments or challenges in the industry will not only impress your interviewers but also show your genuine interest in the field.
✨Prepare for Team Dynamics
As Geo Alpha has a flat hierarchy, be ready to discuss how you collaborate with others. Think of examples where you've taken ownership of projects or worked closely with colleagues to achieve a common goal, as this will highlight your teamwork skills.
